From 2d340d3a809cb8b662f97f1fd6118719694949fa Mon Sep 17 00:00:00 2001 From: Erik Welch Date: Mon, 9 Oct 2023 14:02:26 -0500 Subject: [PATCH 1/2] Update short summary for nx docs --- _nx_graphblas/__init__.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/_nx_graphblas/__init__.py b/_nx_graphblas/__init__.py index c3cc602..a84960b 100644 --- a/_nx_graphblas/__init__.py +++ b/_nx_graphblas/__init__.py @@ -4,18 +4,18 @@ def get_info(): "project": "graphblas-algorithms", "package": "graphblas_algorithms", "url": "https://github.com/python-graphblas/graphblas-algorithms", - "short_summary": "Fast, OpenMP-enabled backend using GraphBLAS", + "short_summary": "OpenMP-enabled sparse linear algebra backend.", # "description": "TODO", "functions": { "adjacency_matrix": {}, "all_pairs_bellman_ford_path_length": { - "extra_parameters": { + "extra_parameters : int or str, optional": { "chunksize": "Split the computation into chunks; " 'may specify size as string or number of rows. Default "10 MiB"', }, }, "all_pairs_shortest_path_length": { - "extra_parameters": { + "extra_parameters : int or str, optional": { "chunksize": "Split the computation into chunks; " 'may specify size as string or number of rows. Default "10 MiB"', }, @@ -92,7 +92,7 @@ def get_info(): "single_target_shortest_path_length": {}, "s_metric": {}, "square_clustering": { - "extra_parameters": { + "extra_parameters : int or str, optional": { "chunksize": "Split the computation into chunks; " 'may specify size as string or number of rows. Default "256 MiB"', }, From 81878ac90149eaa0a570d6819e2484c91296a15e Mon Sep 17 00:00:00 2001 From: Erik Welch Date: Mon, 9 Oct 2023 14:09:46 -0500 Subject: [PATCH 2/2] haha, oops --- _nx_graphblas/__init__.py | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/_nx_graphblas/__init__.py b/_nx_graphblas/__init__.py index a84960b..6ffa061 100644 --- a/_nx_graphblas/__init__.py +++ b/_nx_graphblas/__init__.py @@ -9,14 +9,14 @@ def get_info(): "functions": { "adjacency_matrix": {}, "all_pairs_bellman_ford_path_length": { - "extra_parameters : int or str, optional": { - "chunksize": "Split the computation into chunks; " + "extra_parameters": { + "chunksize : int or str, optional": "Split the computation into chunks; " 'may specify size as string or number of rows. Default "10 MiB"', }, }, "all_pairs_shortest_path_length": { - "extra_parameters : int or str, optional": { - "chunksize": "Split the computation into chunks; " + "extra_parameters": { + "chunksize : int or str, optional": "Split the computation into chunks; " 'may specify size as string or number of rows. Default "10 MiB"', }, }, @@ -92,8 +92,8 @@ def get_info(): "single_target_shortest_path_length": {}, "s_metric": {}, "square_clustering": { - "extra_parameters : int or str, optional": { - "chunksize": "Split the computation into chunks; " + "extra_parameters": { + "chunksize : int or str, optional": "Split the computation into chunks; " 'may specify size as string or number of rows. Default "256 MiB"', }, },